Assessing the aesthetic quality of photographs through group comparison

Mei Chen Yeh*, Chun Hui Chuang

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

The availability and exponential growth in online media provides opportunities for understanding and responding to real world challenges. In this paper we investigate the photo quality assessment problem using a large volume of online images retrieved by Google Image Search. To effectively use the big data, we present new approaches that compute discriminative features from a group of relevant images. We also evaluate two popular regression models, support vector regression (SVR) and ranking support vector machine (RankSVM), for their effectiveness in predicting an aesthetic score from the features. Experiments using 99,000 online images provide interesting results. We examine and identify the cases in which online images facilitate the automatic rating task.

原文英語
主出版物標題Digest of Technical Papers - IEEE International Conference on Consumer Electronics
發行者Institute of Electrical and Electronics Engineers Inc.
頁面91-92
頁數2
ISBN(電子)9781479938308
DOIs
出版狀態已發佈 - 2014 九月 18
對外發佈
事件1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014 - Taipei, 臺灣
持續時間: 2014 五月 262014 五月 28

出版系列

名字Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN(列印)0747-668X

其他

其他1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014
國家/地區臺灣
城市Taipei
期間2014/05/262014/05/28

ASJC Scopus subject areas

  • 工業與製造工程
  • 電氣與電子工程

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